Run
1838163

Run 1838163

Task 3711 (Supervised Classification) elevators Uploaded 31-10-2016 by Josep Pon Farreny
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Mon_Oct_31_11.27.30_2016 NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. sklearn.tree.tree.DecisionTreeClassifier Sklearn_0.18.
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.DecisionTreeClassifier(3)Flow generated by run_task
sklearn.tree.tree.DecisionTreeClassifier(3)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(3)_class_weightNone
sklearn.tree.tree.DecisionTreeClassifier(3)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(3)_max_leaf_nodesNone
sklearn.tree.tree.DecisionTreeClassifier(3)_splitterbest
sklearn.tree.tree.DecisionTreeClassifier(3)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(3)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(3)_random_stateNone
sklearn.tree.tree.DecisionTreeClassifier(3)_criteriongini
sklearn.tree.tree.DecisionTreeClassifier(3)_max_featuresNone
sklearn.tree.tree.DecisionTreeClassifier(3)_presortFalse
sklearn.tree.tree.DecisionTreeClassifier(3)_max_depthNone

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

csv
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.7786
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8088
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5537
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8648.8611
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1918
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4271
Cross-validation details (10-fold Crossvalidation)
Number of instances
16599
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8095
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8082
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8921
Cross-validation details (10-fold Crossvalidation)
Recall
0.8082
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4491
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4621
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.438
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9478
Cross-validation details (10-fold Crossvalidation)